WEBVTT 1 00:00:00.631 --> 00:00:03.214 (upbeat music) 2 00:00:06.270 --> 00:00:09.230 In most cities of the world, traffic is broken. 3 00:00:09.230 --> 00:00:12.271 To have a perspective on how the future of mobility will look like 4 00:00:12.271 --> 00:00:15.650 BCG, GAMMA, and the University of St. Gallen 5 00:00:15.650 --> 00:00:18.380 have engaged in a yearlong study. 6 00:00:18.380 --> 00:00:21.760 This study resulted in a unique traffic simulation model 7 00:00:21.760 --> 00:00:25.440 that simulates 1.7 billion daily trips, 8 00:00:25.440 --> 00:00:27.850 in five different city archetypes, 9 00:00:27.850 --> 00:00:29.894 ranging from Shanghai to Seattle. 10 00:00:29.894 --> 00:00:34.160 And covering transport modes as diverse as subways, 11 00:00:34.160 --> 00:00:36.885 micromobility, and robo-shuttles. 12 00:00:36.885 --> 00:00:40.300 In general, cities will experience a positive impact 13 00:00:40.300 --> 00:00:42.800 from the introduction of autonomous mobility 14 00:00:42.800 --> 00:00:44.130 on many aspects. 15 00:00:44.130 --> 00:00:48.992 In our simulation, we assessed six central KPIs for cities, 16 00:00:48.992 --> 00:00:51.944 from traffic volume over fatalities 17 00:00:51.944 --> 00:00:54.710 to transportation costs per capita, 18 00:00:54.710 --> 00:00:57.390 and we've seen improvement on all of them. 19 00:00:57.390 --> 00:01:00.660 Can you imagine that in our best-case scenario, 20 00:01:00.660 --> 00:01:04.090 a city like New York could free up 900 blocks 21 00:01:04.090 --> 00:01:05.460 of parking space, 22 00:01:05.460 --> 00:01:08.920 which equals six further central parks. 23 00:01:08.920 --> 00:01:10.860 In a city like Los Angeles, for example, 24 00:01:10.860 --> 00:01:13.280 we could see up to 600,000 25 00:01:13.280 --> 00:01:16.000 less vehicles on the road every day 26 00:01:16.000 --> 00:01:18.620 when switching to shared autonomous mobility options. 27 00:01:18.620 --> 00:01:21.250 This would save about 2.7 million metric tons 28 00:01:21.250 --> 00:01:24.290 of CO2 emissions, each year, just in LA. 29 00:01:24.290 --> 00:01:26.740 While not all technological and regulatory obstacles 30 00:01:26.740 --> 00:01:27.800 have been mastered yet, 31 00:01:27.800 --> 00:01:30.380 this study shows that autonomous mobility 32 00:01:30.380 --> 00:01:32.510 can, in fact, be a key contributor 33 00:01:32.510 --> 00:01:34.540 to a much better traffic situation 34 00:01:34.540 --> 00:01:36.470 in our cities across the world. 35 00:01:36.470 --> 00:01:39.730 Given the unique insights of this study, 36 00:01:39.730 --> 00:01:42.313 it is time to act-now.